{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 最基本的画图操作"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot([1,2,3,4,5],[1,4,9,16,25]) #会自动画出一条曲线\n",
    "plt.xlabel('x', fontsize=16)\n",
    "plt.ylabel('x^2', fontsize=16)\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 不同的线条"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot([1,2,3,4,5],[1,4,9,16,25], ':') #会自动画出一条曲线\n",
    "plt.xlabel('x', fontsize=16)\n",
    "plt.ylabel('x^2', fontsize=16)\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 颜色"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot([1,2,3,4,5],[1,4,9,16,25], '-.', color='r') #会自动画出一条曲线\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.10"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
